labelml | Machine Learning Image Annotation Tool | Machine Learning library

by bfortuner Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | labelml Summary

labelml is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. labelml has no bugs, it has no vulnerabilities and it has low support. However labelml build file is not available. You can download it from GitHub.

Machine Learning Image Annotation Tool

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Quality

Security

License

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Support

labelml has a low active ecosystem.

It has 27 star(s) with 11 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 24 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of labelml is current.

Quality

labelml has 0 bugs and 0 code smells.

Security

labelml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

labelml code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

labelml does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

labelml releases are not available. You will need to build from source code and install.

labelml has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

labelml saves you 18520 person hours of effort in developing the same functionality from scratch.

It has 36622 lines of code, 2292 functions and 314 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed labelml and discovered the below as its top functions. This is intended to give you an instant insight into labelml implemented functionality, and help decide if they suit your requirements.

Build a preprocessing step
Build a regularizer object
Builds the activation function
Builds the params for batch norm
Train a model
Save the auxiliary metrics
Append epoch history to a file
Train the model
Preprocess input tensor
Predict a second stage of the RPN
Batch assigner
Calculate a multi - class expectation for a multi - class distribution
Performs matching
Convert a dict into a tf example example
Repeated checkpoint run
Perform position sensitive crop
Evaluate detection results using Pascal VOC
Generate image
Get metrics for multi - label prediction
Batch MulticlassNonMaxSuppression
Create feature maps for multi resolution
Flip image
Loads the tensor
Random crop
Evaluate the Tensorflow evaluation
Visualize boxes and labels

Get all kandi verified functions for this library.

labelml Key Features

No Key Features are available at this moment for labelml.

labelml Examples and Code Snippets

No Code Snippets are available at this moment for labelml.

Community Discussions

Trending Discussions on labelml

My float label is not behaving as planned, already tried on different input focus but no success

QUESTION

My float label is not behaving as planned, already tried on different input focus but no success

Asked 2020-May-05 at 08:27

so i'm using primeng's autocomplete and made a dropdown (single selector) and i can't seem to figure out to which input i need to focus on (or better said which is the right one) to move my label up (float label) since it isn't moving at all, it is staying

This is the html of my single selector:

...

ANSWER

Answered 2020-May-05 at 08:27

PrimeNg does provide floating labels for all components. You can use the following syntax:

Source https://stackoverflow.com/questions/61588272

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install labelml

For detailed explanation on how things work, checkout the guide and docs for vue-loader.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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